GLER-BiGRUnet: A Surface Deformation Prediction Model Fusing Multiscale Features of InSAR Deformation Information and Environmental Factors-Reference-Cited by-同舟云学术

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GLER-BiGRUnet: A Surface Deformation Prediction Model Fusing Multiscale Features of InSAR Deformation Information and Environmental Factors

Published:2024 Issue: Volume:17 Page:14848-14861
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Huo Tianbao¹^ORCID,He Yi¹^ORCID,Zhang Lifeng¹^ORCID,Yang Wang¹^ORCID,Tang Jiapeng¹^ORCID,Zhang Qing¹^ORCID,Lu Jiangang¹^ORCID,Zhang Yunhao¹

Affiliation:

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China

Funder

National Natural Science Foundation of China

Key and Development Project of Lanzhou Jiao Tong University

Outstanding Youth Fund of Gansu Province

Science and Technology Project of Gansu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10637696.pdf?arnumber=10637696

Reference55 articles.

1. Land subsidence prediction in Zhengzhou's main urban area using the GTWR and LSTM models combined with the Attention Mechanism

2. Surface deformation prediction based on TS-InSAR technology and long short-term memory networks

3. A deep learning prediction method for large-scale surface settlement time series;Liu;J. Surv. Mapping,2021

4. Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN–PhLSTM Network

5. Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR

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